Mid/Senior Data Engineer (AWS)

Location: Bulgaria, Poland, or Romania; work from the European Union region and a work permit are required

Company

Global AI-first digital transformation and engineering partner delivering scalable products, platforms, and data-driven solutions across 16 countries.

What you will do

• Design, develop, and maintain scalable batch and real-time data pipelines.
• Build ELT workflows and data transformations using Python, SQL, and dbt.
• Develop and maintain AWS data infrastructure with S3, Glue, Lambda, and Redshift.
• Implement data orchestration and scheduling with Apache Airflow or Amazon MWAA.
• Work with Kafka, Spark, and Apache NiFi for streaming and big data processing.
• Improve production pipeline reliability, performance, scalability, security, governance, monitoring, and automation while participating in scheduled on-call support.

Requirements

• 3+ years of professional experience in data engineering or a related technical role.
• Hands-on experience with AWS and cloud-based data platforms.
• Strong SQL and data modelling skills, including experience with production-scale warehouses such as Amazon Redshift, Snowflake, or BigQuery.
• Proven experience with Python, dbt, and Apache Airflow; familiarity with Kafka, Spark, and Apache NiFi.
• Experience with Docker and Kubernetes, plus the ability to work with large and complex production datasets.
• Excellent English communication skills and the right to work in the European Union are required.

Culture & Benefits

• People-first culture focused on engineering excellence.
• Collaboration with data architects, product teams, analysts, IT teams, and business stakeholders.
• Continuous growth, knowledge sharing, and improvement.
• Scheduled on-call rotation supporting the reliability of the data platform.

Hiring process

• CV review followed by an HR call.
• Interview and client interview.
• Final decision.